NCBI disease corpus: a resource for disease name recognition and concept normalization RI Doğan, R Leaman, Z Lu Journal of biomedical informatics 47, 1-10, 2014 | 899 | 2014 |
BioCreative V CDR task corpus: a resource for chemical disease relation extraction J Li, Y Sun, RJ Johnson, D Sciaky, CH Wei, R Leaman, AP Davis, ... Database 2016, 2016 | 893 | 2016 |
BANNER: An executable survey of advances in biomedical named entity recognition R Leaman, G Gonzalez Pacific Symposium on Biocomputing 13, 652-663, 2008 | 651 | 2008 |
DNorm: disease name normalization with pairwise learning to rank R Leaman, R Islamaj Doğan, Z Lu Bioinformatics 29 (22), 2909-2917, 2013 | 559 | 2013 |
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task CH Wei, Y Peng, R Leaman, AP Davis, CJ Mattingly, J Li, TC Wiegers, ... Database 2016, baw032, 2016 | 415 | 2016 |
Overview of BioCreative II gene normalization AA Morgan, Z Lu, X Wang, AM Cohen, J Fluck, P Ruch, A Divoli, K Fundel, ... Genome biology 9 (Suppl 2), S3, 2008 | 414 | 2008 |
Towards internet-age pharmacovigilance: extracting adverse drug reactions from user posts in health-related social networks R Leaman, L Wojtulewicz, R Sullivan, A Skariah, J Yang, G Gonzalez Proceedings of the 2010 workshop on biomedical natural language processing …, 2010 | 405 | 2010 |
PubTator central: automated concept annotation for biomedical full text articles CH Wei, A Allot, R Leaman, Z Lu Nucleic acids research 47 (W1), W587-W593, 2019 | 380 | 2019 |
The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7, 1-17, 2015 | 362 | 2015 |
TaggerOne: joint named entity recognition and normalization with semi-Markov Models R Leaman, Z Lu Bioinformatics 32 (18), 2839-2846, 2016 | 342 | 2016 |
tmChem: a high performance approach for chemical named entity recognition and normalization R Leaman, CH Wei, Z Lu Journal of cheminformatics 7, 1-10, 2015 | 310 | 2015 |
Challenges in clinical natural language processing for automated disorder normalization R Leaman, R Khare, Z Lu Journal of biomedical informatics 57, 28-37, 2015 | 204 | 2015 |
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text M Krallinger, M Vazquez, F Leitner, D Salgado, A Chatr-Aryamontri, ... BMC bioinformatics 12, 1-31, 2011 | 194 | 2011 |
Inter-species normalization of gene mentions with GNAT J Hakenberg, C Plake, R Leaman, M Schroeder, G Gonzalez Bioinformatics 24 (16), i126-i132, 2008 | 158 | 2008 |
Crowdsourcing in biomedicine: challenges and opportunities R Khare, BM Good, R Leaman, AI Su, Z Lu Briefings in bioinformatics 17 (1), 23-32, 2016 | 122 | 2016 |
Enabling recognition of diseases in biomedical text with machine learning: corpus and benchmark R Leaman, C Miller, G Gonzalez Proceedings of the 2009 Symposium on Languages in Biology and Medicine 82 (9 …, 2009 | 99 | 2009 |
Annotating chemicals, diseases, and their interactions in biomedical literature J Li, Y Sun, R Johnson, D Sciaky, CH Wei, R Leaman, AP Davis, ... Proceedings of the fifth BioCreative challenge evaluation workshop, 173-182, 2015 | 88 | 2015 |
How user intelligence is improving PubMed N Fiorini, R Leaman, DJ Lipman, Z Lu Nature biotechnology 36 (10), 937-945, 2018 | 81 | 2018 |
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing Q Chen, R Leaman, A Allot, L Luo, CH Wei, S Yan, Z Lu Annual review of biomedical data science 4 (1), 313-339, 2021 | 72 | 2021 |
Accessing biomedical literature in the current information landscape R Khare, R Leaman, Z Lu Biomedical literature mining, 11-31, 2014 | 62 | 2014 |